Exposure-lag response of surface net solar radiation on lung cancer incidence: a global time-series analysis.

IF 4 2区医学 Q2 ONCOLOGY

Translational lung cancer research Pub Date : 2024-10-31 Epub Date: 2024-10-28 DOI:10.21037/tlcr-24-125

Xuanzhuang Lu, Runchen Wang, Jianfu Li, Shixuan Lyu, Jianrong Zhang, Qixia Wang, Wenhao Chi, Ran Zhong, Chao Chen, Xinjian Wu, Ruiyu Hu, Zhixuan You, Yuqi Mai, Songlin Xie, Jiayu Lin, Boyu Zheng, Qiu Zhong, Jianxing He, Wenhua Liang

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引用次数: 0

Abstract

Background: Recently, the impact of solar radiation (RAD) on diseases worldwide has garnered growing attention. However, the association between RAD and lung cancer remains largely unknow and no consensus has been reached. The aim of this study was to investigate the lag exposure-response of RAD on lung cancer and provide robust scientific evidence for updating prevention and treatment strategies of lung cancer.

Methods: Data of RAD were obtained from Google Earth Engine, which was post-processed by European Centre for Medium-Range Weather Forecasts (ECMWF). Lung cancer incidence, smoking prevalence and socio-demographic index (SDI) were obtained from Global Burden of Disease (GBD). Spearman's rank correlation tests and linear regression analyses were performed to investigate the relationship between RAD and lung cancer incidence. Additionally, a distributed lag non-linear model (DLNM) was utilized to reveal the lag effects of RAD on lung cancer incidence.

Results: There were 204 countries and territories and selected subnational locations with information recorded in GBD and radiation exposure was calculated in 272 countries and territories. After excluding missing and abnormal data, as well as Kashmir and Western Sahara which were two disputed districts, this study included 186 countries from 1992 to 2019. After adjusted for smoking and SDI, the Spearman's correlation coefficient ranged from -0.630 to -0.581. In the DLNM for lung cancer adjusted for smoking and SDI, the maximum relative risk (RR) was 1.013 [95% confidence interval (CI): 1.011-1.014], at RAD exposure of 12,760,000 with 5.8 lag years, while the minimum RR was 0.973 (95% CI: 0.947-0.992) at RAD exposure of 12,845,000 with 8.0 lag years.

Conclusions: The global rise in lung cancer incidence has been notably associated with low exposure to RAD, whereas the defensive influence of sunlight against lung cancer demonstrated hysteresis. This study shows that properly exposure to sunlight is a possible strategy for lung cancer prevention, which provides scientific support for the formulation of future health strategies. It is also crucial in epidemiological research as it offers a novel pattern for identifying additional potential risk factors for diseases.

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地表净太阳辐射对肺癌发病率的暴露滞后响应：全球时间序列分析。

背景：最近，太阳辐射（RAD）对全球疾病的影响日益受到关注。然而，太阳辐射与肺癌之间的关系在很大程度上仍不为人所知，也未达成共识。本研究旨在调查太阳辐射对肺癌的滞后暴露反应，为更新肺癌的预防和治疗策略提供可靠的科学证据：方法：从谷歌地球引擎获取 RAD 数据，并由欧洲中期天气预报中心（ECMWF）进行后处理。肺癌发病率、吸烟率和社会人口指数（SDI）来自全球疾病负担（GBD）。对 RAD 与肺癌发病率之间的关系进行了斯皮尔曼等级相关检验和线性回归分析。此外，还利用分布式滞后非线性模型（DLNM）来揭示 RAD 对肺癌发病率的滞后效应：有 204 个国家和地区及部分国家以下地区的信息记录在 GBD 中，计算了 272 个国家和地区的辐照度。在剔除缺失和异常数据以及克什米尔和西撒哈拉这两个有争议的地区后，本研究包括了1992年至2019年的186个国家。在对吸烟和 SDI 进行调整后，斯皮尔曼相关系数在 -0.630 至 -0.581 之间。在对吸烟和 SDI 进行调整后的肺癌 DLNM 中，当 RAD 暴露为 1 276 万人，滞后 5.8 年时，最大相对风险（RR）为 1.013 [95% 置信区间（CI）：1.011-1.014]，而当 RAD 暴露为 1 284.5 万人，滞后 8.0 年时，最小相对风险（RR）为 0.973 (95% CI：0.947-0.992)：结论：全球肺癌发病率的上升明显与低RAD暴露有关，而阳光对肺癌的防御性影响则表现出滞后性。这项研究表明，适当接触阳光是预防肺癌的一种可行策略，这为制定未来的健康策略提供了科学支持。这对流行病学研究也至关重要，因为它提供了一种新的模式，可用于确定其他潜在的疾病风险因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Translational lung cancer research Medicine-Oncology

CiteScore

7.20

自引率

2.50%

发文量

137

期刊介绍： Translational Lung Cancer Research(TLCR, Transl Lung Cancer Res, Print ISSN 2218-6751; Online ISSN 2226-4477) is an international, peer-reviewed, open-access journal, which was founded in March 2012. TLCR is indexed by PubMed/PubMed Central and the Chemical Abstracts Service (CAS) Databases. It is published quarterly the first year, and published bimonthly since February 2013. It provides practical up-to-date information on prevention, early detection, diagnosis, and treatment of lung cancer. Specific areas of its interest include, but not limited to, multimodality therapy, markers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to lung cancer.